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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2025.1601218</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The association between serum vitamin C levels and respiratory infections in children and adolescents</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Ci</given-names></name>
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</contrib>
<contrib contrib-type="author">
<name><surname>Zhu</surname> <given-names>Zhiwei</given-names></name>
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<contrib contrib-type="author">
<name><surname>Jiang</surname> <given-names>Shicai</given-names></name>
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<contrib contrib-type="author">
<name><surname>Feng</surname> <given-names>Xiang</given-names></name>
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<contrib contrib-type="author">
<name><surname>Gao</surname> <given-names>Kaijie</given-names></name>
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<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Tiewei</given-names></name>
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<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Liu</given-names></name>
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<contrib contrib-type="author">
<name><surname>Fang</surname> <given-names>Panpan</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Yang</surname> <given-names>Junmei</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff><institution>Zhengzhou Key Laboratory of Children&#x2019;s Infection and Immunity, Department of Clinical Laboratory, Children&#x2019;s Hospital Affiliated to Zhengzhou University</institution>, <addr-line>Zhengzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Roberto Giovanni Carbone, University of Genoa, Italy</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Francesco Puppo, University of Genoa, Italy</p>
<p>Aaron John MacDonald, McLean Hospital, United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Junmei Yang, <email>yangjunmei7683@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1601218</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>03</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>21</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Li, Zhu, Jiang, Feng, Gao, Li, Yang, Fang and Yang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Li, Zhu, Jiang, Feng, Gao, Li, Yang, Fang and Yang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Objective</title>
<p>Respiratory infections (RIs) are a leading cause of morbidity and mortality, and vitamin C may play a vital role in the risk of RIs. However, high-quality evidence on the association between vitamin C and RIs in the younger population remains limited. This study aimed to investigate the association between serum vitamin C and RI risk in a nationally representative sample of children and adolescents.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Utilizing data from the National Health and Nutrition Examination Survey (NHANES) 2017&#x2013;2018, this study included 1,344 children and adolescents aged between 6 and 19&#x202F;years old. Serum vitamin C levels were obtained from laboratory tests, and RIs were determined based on a self-reported health questionnaire. The association between vitamin C and RIs was tested using multivariable logistic regression models, interaction tests, and smoothing curve fitting.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>A total of 238 participants (17.7%) reported a respiratory infection in the past 30&#x202F;days. Serum vitamin C was significantly and negatively associated with the risk of RIs in all regression models. After adjusting for all potential confounders, an increase of the vitamin C level by 10&#x202F;units indicated a decrease of the RI risk by 7% (OR&#x202F;=&#x202F;0.93, 95% confidence interval [CI]: 0.87, 0.99). Such an association remained consistently significant across subgroups with various demographical and health characteristics.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Our study shows a negative association between vitamin C and RIs among children and adolescents, highlighting the protective role of vitamin C against RIs. Our findings suggest that vitamin C supplementation may be potentially used for the prevention and treatment of RIs, which needs to be validated in future well-designed studies.</p>
</sec>
</abstract>
<kwd-group>
<kwd>vitamin C</kwd>
<kwd>respiratory infection</kwd>
<kwd>children</kwd>
<kwd>adolescents</kwd>
<kwd>NHANES5</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="29"/>
<page-count count="7"/>
<word-count count="4457"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutritional Epidemiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Respiratory infections (RIs), a broad term including both upper RIs (e.g., common colds, pharyngitis, and sinusitis) and lower RIs (e.g., pneumonia and bronchitis), are a significant public health challenge associated with high morbidity and mortality worldwide (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Children and adolescents are particularly susceptible to RIs due to their immature immunity systems, which are further aggravated by the increasing environmental pollution in recent years (<xref ref-type="bibr" rid="ref3">3</xref>). According to the World Health Organization (WHO), pneumonia caused 740,180 deaths among children aged &#x003C; 5&#x202F;years in 2019, accounting for 14% of all deaths in that age group (<xref ref-type="bibr" rid="ref4">4</xref>). Identifying risk factors, especially those modifiable factors that are easy to intervene, is thus crucial for the prevention and control of RIs among children and adolescents.</p>
<p>Abundant evidence has demonstrated that nutrition plays an essential role in RIs among children and adolescents, as poor nutritional status can lead to impaired immunity, thus increasing their susceptibility to RIs (<xref ref-type="bibr" rid="ref5">5</xref>). Vitamin C is a vital type of micronutrient with anti-inflammatory, antioxidant, and immune-modulating properties (<xref ref-type="bibr" rid="ref6">6</xref>). It can improve immunity by supporting epithelial barrier integrity, enhancing immune cell activity, and alleviating oxidative stress (<xref ref-type="bibr" rid="ref7">7</xref>). A multitude of observational studies have indicated a significant association between the level of vitamin C and the risk of RIs, particularly among older adults and people with immune dysfunction (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). In addition, several meta-analyses of randomized controlled trials (RCTs) from global research indicate that vitamin C supplementation can effectively prevent RIs and significantly reduce the duration of RIs (<xref ref-type="bibr" rid="ref10 ref11 ref12">10&#x2013;12</xref>).</p>
<p>However, the relationship between vitamin C and RIs focusing on the younger population who are disproportionally affected by a high disease burden of RIs remains less studied and reported (<xref ref-type="bibr" rid="ref13">13</xref>). High-quality evidence based on large population studies on the association between vitamin C and RIs in the context of children and adolescents is even scarce. Therefore, this study aimed to evaluate the relationship between serum vitamin C and RIs in a representative sample of children and adolescents from the National Health and Nutrition Examination Survey (NHANES). Our findings would offer comprehensive insights into the impact of nutritional factors on respiratory health in children, providing a basis for developing effective preventive and intervention strategies.</p>
</sec>
<sec sec-type="methods" id="sec6">
<label>2</label>
<title>Methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Participants</title>
<p>The NHANES is the sole nationwide survey that encompasses health examinations and laboratory testing to investigate the nutrition and health of adults and children in the United States. Ethical approval was obtained from the corresponding Ethics Review Board, and all participants or their legal guardians provided written informed consent before the survey. This study analyzed the 2017&#x2013;2018 NHANES dataset, including 9,254 participants. We excluded participants who were aged &#x2265; 20&#x202F;years old (<italic>n</italic>&#x202F;=&#x202F;5,569) and those who lacked data on RI status (<italic>n</italic>&#x202F;=&#x202F;1877), serum vitamin C levels (<italic>n</italic>&#x202F;=&#x202F;204), and covariates (<italic>n</italic>&#x202F;=&#x202F;240). Finally, 1,344 participants were included in the analysis (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flow chart of participant selection. NHANES, National Health and Nutrition Examination Survey.</p>
</caption>
<graphic xlink:href="fnut-12-1601218-g001.tif"/>
</fig>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Exposure variables</title>
<p>The level of serum vitamin C (&#x03BC;mol/L) was assessed by laboratory testing (LBDVICSI) using isocratic ultra-high-performance liquid chromatography coupled with 450&#x202F;mV electrochemical detection (range: 200&#x202F;nA). The reported results for serum vitamin C adhered to quality assurance and quality control standards.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Outcome variables</title>
<p>RIs were identified from the following two self-reported questions on the current health status questionnaire (HSQ): (1) HSQ500-Have you caught a cold in the past month? (yes or no), and (2) HSQ520-Have you had an ear infection, pneumonia, or flu in the past month? (yes or no) (<xref ref-type="bibr" rid="ref14">14</xref>). Participants who answered yes to either question were determined as having RIs.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Covariates</title>
<p>Demographic characteristics and health data were also collected as study covariates. The demographic data set included sex, age, race, and the ratio of family income to poverty (PIR). PIR was calculated by dividing family income by poverty guidelines in the survey year. The cutoffs of 1.3 and 3.5 were used to distinguish between those who were low-income, middle-income, and high-income (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). Health data encompassed body mass index (BMI, kg/m<sup>2</sup>), asthma status, serum cotinine levels (ng/mL), total energy intake (kcal), and vitamin C intake (mg). BMI was derived from examination data and calculated as weight in kilograms divided by height in meters squared (kg/m<sup>2</sup>). The cutoffs of 25 and 30 were used to distinguish between those who were normal, overweight, and obese (<xref ref-type="bibr" rid="ref17">17</xref>). Asthma status was determined from questionnaire data, specifically MCQ010-whether the participant had ever been told they had asthma (yes or no). Serum cotinine levels (ng/mL) were obtained from laboratory data to assess exposure to tobacco smoke, with a cutoff of 0.05&#x202F;ng/mL distinguishing between those with and without tobacco smoke exposure (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>). Total energy intake (kcal) was the mean value of the total energy intake on day 1 and day 2 from the questionnaire data. The vitamin C intake (mg) was the mean value of vitamin C intake on day 1 and day 2 from the questionnaire data.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Statistical analysis</title>
<p>The association between the level of serum vitamin C and RI risk was assessed using multivariable logistic regression analysis and trend tests with various models. Model 1 was the crude model without adjusting for any covariates. Model 2 was the partially adjusted model controlling for sex, age, and race. Model 3 was the fully adjusted model that further controlled for PIR, BMI, asthma, tobacco smoke exposure, total energy intake, and vitamin C intake, which was visually presented using the smoothing curve fitting. To evaluate the stability of the association between serum vitamin C and RI risk, we conducted multiple exploratory subgroup analyses in various subgroups with different characteristics. Statistical analyses were conducted using EmpowerStats (version 4.2) and R software (version 4.3). Statistical significance was indicated by <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<label>3</label>
<title>Results</title>
<sec id="sec13">
<label>3.1</label>
<title>Sample characteristics</title>
<p>The study included 1,344 participants, and their mean age was 12.62&#x202F;&#x00B1;&#x202F;3.90&#x202F;years. Among them, 670 were male, accounting for 49.85%. Furthermore, 238 participants (17.7%) reported a history of RIs within the past 30&#x202F;days. Participants were categorized into four groups based on quartiles of serum vitamin C levels: Q1&#x202F;&#x003C;&#x202F;43.1&#x202F;&#x03BC;mol/L (<italic>n</italic>&#x202F;=&#x202F;336), Q2&#x202F;=&#x202F;43.2&#x2013;62.5&#x202F;&#x03BC;mol/L (<italic>n</italic>&#x202F;=&#x202F;330), Q3&#x202F;=&#x202F;62.6&#x2013;78.9&#x202F;&#x03BC;mol/L (<italic>n</italic>&#x202F;=&#x202F;337), and Q4&#x202F;&#x003E;&#x202F;79.0&#x202F;&#x03BC;mol/L (<italic>n</italic>&#x202F;=&#x202F;341). <xref ref-type="table" rid="tab1">Table 1</xref> shows the comparison of sample characteristics by serum vitamin C quartiles, which showed significant differences in age, sex, BMI, tobacco smoke exposure, and vitamin C intake among the four groups. Compared to the lower serum vitamin C quartile groups, the higher quartile groups tended to be younger (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and had more females (<italic>p</italic>&#x202F;=&#x202F;0.045), lower BMI (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), less tobacco smoke exposure (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and higher Vitamin C intake (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Basic characteristics of participants by serum vitamin C quartiles among U. S. children and adolescents.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Characteristics</th>
<th align="center" valign="top" colspan="4">Serum vitamin C quartiles</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th align="center" valign="top">Q1 (<italic>N</italic>&#x202F;=&#x202F;336)</th>
<th align="center" valign="top">Q2 (<italic>N</italic>&#x202F;=&#x202F;330)</th>
<th align="center" valign="top">Q3 (<italic>N</italic>&#x202F;=&#x202F;337)</th>
<th align="center" valign="top">Q4 (<italic>N</italic>&#x202F;=&#x202F;341)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years) (mean &#x00B1; SD)</td>
<td align="center" valign="top">14.44&#x202F;&#x00B1;&#x202F;3.23</td>
<td align="center" valign="top">13.27&#x202F;&#x00B1;&#x202F;3.74</td>
<td align="center" valign="top">12.17&#x202F;&#x00B1;&#x202F;3.90</td>
<td align="center" valign="top">10.64&#x202F;&#x00B1;&#x202F;3.67</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Sex, (n, %)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.045</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">186 (55.36%)</td>
<td align="center" valign="top">170 (51.52%)</td>
<td align="center" valign="top">153 (45.40%)</td>
<td align="center" valign="top">161 (47.21%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">150 (44.64%)</td>
<td align="center" valign="top">160 (48.48%)</td>
<td align="center" valign="top">184 (54.60%)</td>
<td align="center" valign="top">180 (52.79%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Race/ethnicity, (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.128</td>
</tr>
<tr>
<td align="left" valign="top">Mexican American</td>
<td align="center" valign="top">17.56</td>
<td align="center" valign="top">18.48</td>
<td align="center" valign="top">18.99</td>
<td align="center" valign="top">18.18</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other Hispanic</td>
<td align="center" valign="top">5.65</td>
<td align="center" valign="top">6.97</td>
<td align="center" valign="top">9.20</td>
<td align="center" valign="top">6.45</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic White</td>
<td align="center" valign="top">34.52</td>
<td align="center" valign="top">27.88</td>
<td align="center" valign="top">28.49</td>
<td align="center" valign="top">31.96</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic Black</td>
<td align="center" valign="top">18.15</td>
<td align="center" valign="top">25.76</td>
<td align="center" valign="top">22.55</td>
<td align="center" valign="top">26.69</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other Race</td>
<td align="center" valign="top">24.11</td>
<td align="center" valign="top">20.91</td>
<td align="center" valign="top">20.77</td>
<td align="center" valign="top">16.72</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Family PIR (mean &#x00B1; SD)</td>
<td align="center" valign="top">2.04&#x202F;&#x00B1;&#x202F;1.54</td>
<td align="center" valign="top">2.12&#x202F;&#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">2.12&#x202F;&#x00B1;&#x202F;1.48</td>
<td align="center" valign="top">2.13&#x202F;&#x00B1;&#x202F;1.53</td>
<td align="center" valign="top">0.587</td>
</tr>
<tr>
<td align="left" valign="top">BMI (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">24.88&#x202F;&#x00B1;&#x202F;7.52</td>
<td align="center" valign="top">23.25&#x202F;&#x00B1;&#x202F;6.73</td>
<td align="center" valign="top">21.84&#x202F;&#x00B1;&#x202F;5.96</td>
<td align="center" valign="top">19.65&#x202F;&#x00B1;&#x202F;4.80</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Asthma, (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.586</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">16.37</td>
<td align="center" valign="top">19.70</td>
<td align="center" valign="top">19.88</td>
<td align="center" valign="top">17.60</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">83.63</td>
<td align="center" valign="top">80.30</td>
<td align="center" valign="top">80.12</td>
<td align="center" valign="top">82.40</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tobacco smoke exposure, (%)</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">51.95</td>
<td align="center" valign="top">41.80</td>
<td align="center" valign="top">38.14</td>
<td align="center" valign="top">37.28</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">48.05</td>
<td align="center" valign="top">58.20</td>
<td align="center" valign="top">61.86</td>
<td align="center" valign="top">62.72</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Total energy intake, (mean &#x00B1; SD)</td>
<td align="center" valign="top">1988.57&#x202F;&#x00B1;&#x202F;1007.54</td>
<td align="center" valign="top">2054.08&#x202F;&#x00B1;&#x202F;931.94</td>
<td align="center" valign="top">2026.66&#x202F;&#x00B1;&#x202F;866.54</td>
<td align="center" valign="top">1946.23&#x202F;&#x00B1;&#x202F;753.02</td>
<td align="center" valign="top">0.483</td>
</tr>
<tr>
<td align="left" valign="top">Vitamin C intake, (mean &#x00B1; SD)</td>
<td align="center" valign="top">43.53&#x202F;&#x00B1;&#x202F;44.31</td>
<td align="center" valign="top">64.42&#x202F;&#x00B1;&#x202F;58.06</td>
<td align="center" valign="top">74.79&#x202F;&#x00B1;&#x202F;51.45</td>
<td align="center" valign="top">87.22&#x202F;&#x00B1;&#x202F;60.20</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data are presented as the means &#x00B1; standard deviations for continuous variables. PIR, ratio of income to poverty, BMI, body mass index.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<label>3.2</label>
<title>Associations between serum vitamin C and RI risk</title>
<p><xref ref-type="table" rid="tab2">Table 2</xref> shows the associations between serum vitamin C and RI risk in various models. A significant negative association between the continuous serum vitamin C level and RI risk was only observed in model 3, where a 10-unit increase in serum vitamin C was associated with a 7% decreased risk of RIs (OR&#x202F;=&#x202F;0.93, 95% CI: 0.87, 0.99). Additionally, compared to the Q1 group, only the Q4 group showed a significantly lower risk of RIs in Model 2 and Model 3. In Model 3, the Q4 group had a 50% lower risk of RIs than the Q1 group (OR&#x202F;=&#x202F;0.50, 95% CI: 0.30, 0.83). This result was further visually presented using the smoothing curve fitting (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Our results indicated that the risk of RIs decreased as serum vitamin C levels increased (P for trend &#x003C; 0.05).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Associations between serum vitamin C levels and respiratory infection in different models.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Serum vitamin C</th>
<th align="center" valign="top" colspan="3">Respiratory infection OR (95% CI)</th>
</tr>
<tr>
<th align="center" valign="top">Crude model (Model 1)</th>
<th align="center" valign="top">Partially adjusted model (Model 2)</th>
<th align="center" valign="top">Fully adjusted model (Model 3)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Continuous variables (&#x03BC;mol/L)</td>
<td align="center" valign="top">0.97 (0.92, 1.02)</td>
<td align="center" valign="top">0.95 (0.90, 1.00)</td>
<td align="center" valign="top">0.93 (0.87, 0.99)</td>
</tr>
<tr>
<td align="left" valign="top">Categorical variables</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Quartile 1</td>
<td align="center" valign="top">1 (ref)</td>
<td align="center" valign="top">1 (ref)</td>
<td align="center" valign="top">1 (ref)</td>
</tr>
<tr>
<td align="left" valign="top">Quartile 2</td>
<td align="center" valign="top">1.13 (0.77, 1.65)</td>
<td align="center" valign="top">1.08 (0.73, 1.60)</td>
<td align="center" valign="top">0.99 (0.65, 1.52)</td>
</tr>
<tr>
<td align="left" valign="top">Quartile 3</td>
<td align="center" valign="top">0.98 (0.66, 1.44)</td>
<td align="center" valign="top">0.88 (0.58, 1.32)</td>
<td align="center" valign="top">0.75 (0.48, 1.18)</td>
</tr>
<tr>
<td align="left" valign="top">Quartile 4</td>
<td align="center" valign="top">0.72 (0.48, 1.09)</td>
<td align="center" valign="top">0.61 (0.39, 0.95)</td>
<td align="center" valign="top">0.50 (0.30, 0.83)</td>
</tr>
<tr>
<td align="left" valign="top">P for trend</td>
<td align="center" valign="top">0.099</td>
<td align="center" valign="top">0.019</td>
<td align="center" valign="top">0.003</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Model 1: no covariates were adjusted. Model 2: age, sex, and race were adjusted. Model 3: age, sex, race, PIR, BMI, asthma, tobacco smoke exposure, total energy intake, and vitamin C intake were adjusted. Abbreviations: PIR, ratio of income to poverty, BMI, body mass index.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Associations between serum vitamin C and respiratory infection. The solid red line represents the smooth curve fit between the variables, while the blue bands denote the 95% confidence intervals of the fitted values. Age, sex, race, the ratio of family income to poverty, body mass index, asthma, tobacco smoke exposure, total energy intake, and vitamin C intake were adjusted.</p>
</caption>
<graphic xlink:href="fnut-12-1601218-g002.tif"/>
</fig>
</sec>
<sec id="sec15">
<label>3.3</label>
<title>Subgroup analyses</title>
<p>After adjusting for all covariates, subgroup analysis was conducted to evaluate the stability of the association between the serum vitamin C level and RI risk across different subgroups with various characteristics. As shown in <xref ref-type="table" rid="tab3">Table 3</xref>, the relationship between serum vitamin C and RIs remained stable across various subgroups, including sex, age, PIR, BMI, asthma, and tobacco smoke exposure (P for interaction &#x003E; 0.05). Additionally, a significant negative association between serum vitamin C and RI risk was only observed in males (OR&#x202F;=&#x202F;0.90, 95% CI: 0.82, 0.99) and participants with PIR&#x202F;&#x2264;&#x202F;1.3 (OR&#x202F;=&#x202F;0.89, 95% CI: 0.80, 0.98).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Subgroup analysis of the association between serum vitamin C (&#x03BC;mol/L) and respiratory infection.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Subgroup</th>
<th align="center" valign="top">Respiratory infection [OR (95%CI)]</th>
<th align="center" valign="top">P for interaction</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td align="center" valign="top">0.291</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">0.90 (0.82, 0.99)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">0.96 (0.88, 1.05)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td/>
<td align="center" valign="top">0.927</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C; 12&#x202F;years</td>
<td align="center" valign="top">0.93 (0.85, 1.03)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265; 12&#x202F;years</td>
<td align="center" valign="top">0.94 (0.86,1.02)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Family PIR</td>
<td/>
<td align="center" valign="top">0.311</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2264; 1.3</td>
<td align="center" valign="top">0.89 (0.80, 0.98)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">1.3&#x2013;3.5</td>
<td align="center" valign="top">0.99 (0.89, 1.10)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x003E; 3.5</td>
<td align="center" valign="top">0.95 (0.83, 1.09)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">BMI</td>
<td/>
<td align="center" valign="top">0.312</td>
</tr>
<tr>
<td align="left" valign="middle">&#x003C; 24.9&#x202F;kg/m<sup>2</sup></td>
<td align="center" valign="top">0.95 (0.88, 1.02)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">25&#x2013;29.9&#x202F;kg/m<sup>2</sup></td>
<td align="center" valign="top">0.79 (0.62, 1.01)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x2265; 30&#x202F;kg/m<sup>2</sup></td>
<td align="center" valign="top">0.88 (0.72, 1.06)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Asthma</td>
<td/>
<td align="center" valign="top">0.217</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="top">0.85 (0.73, 1.00)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="top">0.95 (0.89, 1.02)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Tobacco smoke exposure</td>
<td/>
<td align="center" valign="top">0.585</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="top">0.92 (0.84, 1.01)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="top">0.95 (0.87, 1.04)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Age, sex, race, the family PIR, BMI, asthma, tobacco smoke exposure, total energy intake, and vitamin C intake were adjusted. Abbreviations: PIR, ratio of income to poverty, BMI, body mass index.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec16">
<label>4</label>
<title>Discussion</title>
<p>This was the first population-based study examining the association between serum vitamin C levels and RIs in US children. After adjusting for demographic and health characteristics, we found that a higher level of serum vitamin C was associated with a lower risk of RIs. Subgroup analyses further substantiated this association, demonstrating its robustness and resistance to influence by confounding variables such as sex, age, family PIR, BMI, asthma, or tobacco smoke exposure. Our findings highlight the protective role of vitamin C against RIs, which may provide useful guidance for future prevention and treatment of RIs among children.</p>
<p>The finding that higher serum vitamin C was associated with a RI risk in children and adolescents was consistent with previous studies in other countries. A survey conducted in the United Kingdom involving 19,357 adults found an inverse relationship between vitamin C and the risk of RIs (<xref ref-type="bibr" rid="ref20">20</xref>). A study conducted in Italy, which involved 60 children, found that supplementing vitamin C in children significantly decreased the incidence of recurrent RIs (<xref ref-type="bibr" rid="ref21">21</xref>). A similar finding was reported in a study conducted among 69 preschool children in Slovakia, which demonstrated that combining vitamin C and probiotics significantly decreased the incidence of upper RIs and the use of antibiotics and cough medications (<xref ref-type="bibr" rid="ref22">22</xref>). Our study added further evidence on the beneficial effects of vitamin C in RI prevention and control, which could inform future research and clinical applications.</p>
<p>The underlying mechanisms of the beneficial role of vitamin C on RIs primarily involve its antioxidant, immune-modulatory, and anti-inflammatory properties. Research indicates that vitamin C protects against RIs through several mechanisms. First, vitamin C exerts antioxidant functions by neutralizing free radicals, mitigating oxidative stress, and protecting the integrity of respiratory epithelial cells (<xref ref-type="bibr" rid="ref7">7</xref>). Second, vitamin C strengthens immunity by enhancing the chemotaxis and phagocytic activity of neutrophils, which is essential for pathogen clearance (<xref ref-type="bibr" rid="ref23">23</xref>). Third, vitamin C exerts anti-inflammatory functions by modulating cytokine production and inhibiting pro-inflammatory cytokines (e.g., TNF-&#x03B1;and IL-6), thereby reducing inflammatory responses (<xref ref-type="bibr" rid="ref24">24</xref>). Fourth, our previous research has demonstrated a negative correlation between serum vitamin C and C-reactive protein (CRP), an important inflammatory marker, in children (<xref ref-type="bibr" rid="ref13">13</xref>). Vitamin C can reduce pulmonary inflammation, improve respiratory function, and shorten the duration of the RIs through its anti-inflammatory functions (<xref ref-type="bibr" rid="ref25">25</xref>).</p>
<p>On the other hand, vitamin C deficiency can increase the risk of RIs. Previous studies have observed lower levels of vitamin C in hospitalized patients with RIs, probably due to increased metabolic demands (<xref ref-type="bibr" rid="ref26">26</xref>). In addition, patients with lower vitamin C levels exhibit more severe symptoms and longer recovery duration during infections (<xref ref-type="bibr" rid="ref27">27</xref>). In critically ill patients, intravenous supplementation of vitamin C can reduce the length of hospitalization and improve survival (<xref ref-type="bibr" rid="ref28">28</xref>). Consequently, ensuring adequate vitamin C supplementation holds potential clinical significance in the management of RIs, particularly among vulnerable populations, such as older adults and immunocompromised individuals (<xref ref-type="bibr" rid="ref29">29</xref>). In our study, maintaining higher serum vitamin C concentrations was crucial in preventing RIs in children and adolescents.</p>
<p>The present study boasts several strengths. First, participants were recruited from the 2017&#x2013;2018 NHANES, ensuring the sample representativeness. Second, the analysis was adjusted for multiple potential confounders, enhancing the reliability of the findings. Third, the results were tested among various subgroups, confirming the stability of the association. However, the study has several limitations. First, the sample was recruited from a US population and may not represent children in other countries. Future studies in other nations are needed to validate our findings in other populations. Second, the cross-sectional study design cannot establish causal references, indicating the need for future longitudinal study designs. Third, although we adjusted for multiple confounders, there may be other unmeasured potential confounding factors that affect the results. For instance, we did not account for other drugs that may influence vitamin C absorption, depletion, or demand, which may make it difficult to determine the true effect of vitamin C in our study. Future research should address potential drug interactions to provide more accurate and reliable conclusions about the role of vitamin C in RIs. Fourth, RIs were determined based on two self-reported questions, which may introduce potential information and recall bias. Future studies should consider using more robust assessment approaches, such as medical records, physical examinations, and laboratory tests to get a more accurate evaluation. Fifth, while our study showed that lower vitamin C levels were associated with a higher risk of RIs, it should be noted that RIs may also lead to lower vitamin C levels due to the increased demands of the immune system during the infection response. Future research should consider exploring the bidirectional relationship between vitamin C levels and RIs and their underlying mechanism, offering a more nuanced understanding of their interactions. Finally, we did not account for other health conditions that may impair vitamin C absorption or metabolism. Conditions like irritable bowel disease (IBD), celiac disease, and chronic infections can all contribute to vitamin C deficiency through various ways, including reduced nutrient intake, increased nutrient losses, and impaired absorption. Future research should consider and control for these factors to improve the accuracy and relevance of findings.</p>
</sec>
<sec sec-type="conclusions" id="sec17">
<label>5</label>
<title>Conclusion</title>
<p>This study demonstrates a negative association between serum vitamin C and RI risk in a nationally representative sample of children and adolescents. These findings highlight the protective role of vitamin C against RIs and underscore the significance of maintaining optimal vitamin C levels. Our findings suggest that vitamin C supplementation may be potentially used for the prevention and treatment of RIs among children and adolescents, which needs to be further validated in future well-designed studies.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec18">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found at: <ext-link xlink:href="http://www.cdc.gov/nchs/nhanes/" ext-link-type="uri">www.cdc.gov/nchs/nhanes/</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec19">
<title>Ethics statement</title>
<p>The studies involving humans were approved by National Center for Health Statistics (NCHS) Ethics Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec sec-type="author-contributions" id="sec20">
<title>Author contributions</title>
<p>CL: Conceptualization, Writing &#x2013; original draft, Data curation. ZZ: Formal analysis, Methodology, Writing &#x2013; original draft. SJ: Investigation, Writing &#x2013; original draft, Conceptualization. XF: Writing &#x2013; original draft, Software, Methodology. KG: Funding acquisition, Investigation, Writing &#x2013; original draft. TL: Writing &#x2013; review &#x0026; editing, Project administration. LY: Formal analysis, Writing &#x2013; original draft, Validation. PF: Writing &#x2013; review &#x0026; editing, Supervision, Validation. JY: Resources, Writing &#x2013; review &#x0026; editing, Formal analysis.</p>
</sec>
<sec sec-type="funding-information" id="sec21">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Key Research, Development, and Promotion Projects of Henan Province (Scientific and Technological Tackling) (222102310328).</p>
</sec>
<ack>
<p>The authors thank all of the contributors for their valuable input on this manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="sec22">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec23">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec24">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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